Quantitative Evaluation for New Bone Growth of Bone Repairing Biomaterial Based on Color Image Segmentation

Abstract:

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Quantitative evaluation of repairing effect of bone grafting material is one of the essential
studying subjects. However, traditional evaluation methods are subjective and qualitative. In this paper,
the region of new bone from a bone repairing biomaterial planted image is extracted based on color image
segmentation and then statistically analyzed to evaluate the property of bone grafting material
quantitatively. HSI color model, which corresponds with people’s vision system for color is used to
achieve ideal segmental results and effective utilization of color information. The S and I variable are
used as thresholding condition for image segmentation, thereby obtaining the area of new bone. The effect
of BMP contained in BMP/α-TCP is estimated furthermore. Experimental results show that the composite
BMP/α-TCP induce more bone than pure α-TCP in virtue of BMP. This study provides theoretical and
experimental suggestions for clinical applications of BMP/α-TCP.